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Mathias Ellmann, M.Sc.

 Short CV | Research Interests | Teaching | Supervised Projects and Thesis | Publications

Profilbild

 

 

 

CONTACT

Room: D 209

Phone: (+49) 040 428 83-2310

E-mail: ellmann(at)informatik.uni-hamburg.de

 

 

 

SHORT CV

Mathias Ellmann is a research assistant at the Applied Software Technology Group (MAST) and a Doctoral candidate at the University of Hamburg. He studies also actual teaching and learning methods which are provided in a Master program at the University of Hamburg. He holds a Master of Science degree in industrial engineering and management with majors in information and communication systems (I&C) and international information systems from the University of Erlangen-Nuremberg. He has a Bachelor of Engineering degree in electrical engineering and information technology with majors in energy and automation technology from the Ostbayerische Technische Hochschule Regensburg (OTH Regensburg).

He has been working in several software engineering and research departments of the companies as follows. Those companies are located in different domains and provide different services to their costumers (testing, automation and control, and web services).

RESEARCH INTERESTS

  • Empirical Software Engineering and Methods
  • Software and Data Analytics
  • Natural Language Processing
  • Software Documentation Quality
  • Mobile Engineering
  • Context Aware Software Solutions
  • Teaching and Learning Methods

TEACHING

SUPERVISED PROJECTS

SUPERVISED THESIS

  • An Empirical Study of Software Development Screencasts to enrich API Reference Documentation. (SD Thesis (Alexander Oeser). February 16 – November 16)
  • An Empirical Study to Improve the Quality of Developer’s Q&As in Stack Overflow. (MA Thesis (Marko Schnecke). Mai 15 – November 15)
  • An Empirical Study Towards a Quality Model for FAQs in Software Development. (MA Thesis (Irmo Timmann). Mai 15 – November 15)
  • Monitoring Developer’s Actions to Generate a Question in Stack Overflow. (BA Thesis (Claas Jährling). April 15 – September 15)
  • Noise pollution monitoring from the citizens’ perspective using smart devices. (BA Thesis (Daniel Martens). June 14 – September 14)

PUBLICATIONS